研究论文
Tribo-informatics analysis of in-situ TiC reinforced ZA27 alloy: Microstructural insights and wear performance modeling by machine learning
Khursheed Ahmad Sheikh, Mohammad Mohsin Khan
National Institute of Technology Srinagar
来源Tribology International
年份2024
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逐年被引趋势
1680
24
1625
26
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30
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5.18
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同类平均 = 1
同类平均 = 1
前 3%
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学术脉络
学科主题
工程Aluminum Alloys Composites Properties
Advanced materials and composites · MXene and MAX Phase Materials
参考文献 31
Abrasive wear behaviour of zinc-aluminium alloy - 10% Al2O3 composite through factorial design of experiment
被引 48O. P. Modi, R. P. Yadav, D.P. Mondal · Journal of Materials Science · 2001
Abrasive Wear Characteristics of Zn–37.2Al–2.5Cu–0.2Mg Alloy Dispersed with Silicon Carbide Particles
被引 58B.K. Prasad, A. K. Jha, O. P. Modi · Materials Transactions JIM · 1995
Influence of SiC reinforcement on the abrasive wear response of an Al-Cu alloy under conditions of varying abrasive size and applied load
被引 18B.K. Prasad, K. Venkateswarlu, Subhadeep Das · Journal of Materials Science Letters · 1997
此处列出前 3 条
施引文献 30
Predictive modeling of abrasive wear in in-situ TiC reinforced ZA37 alloy: A machine learning approach
被引 33Khursheed Ahmad Sheikh, Mohammad Mohsin Khan · Tribology International · 2024
Tribological behavior of PLA reinforced with boron nitride nanoparticles using Taguchi and machine learning approaches
被引 20Sundarasetty Harishbabu, Santosh Kumar Sahu · Results in Engineering · 2025
Comparative study of wear behaviour of ZA37 alloy, ZA37/SiC composite, and grey cast iron under lubricated conditions: Predictive modeling by machine learning
被引 19Khursheed Ahmad Sheikh, Mohammad Mohsin Khan, Mohd Nadeem Bhat · Tribology International · 2025
按被引量排序，此处列出前 3 条